Comments (1)
@dragen1860 As far as I know the gap between the performance of HOI detection benchmark settings and real-world datasets leaves quite a gap since I) the objects in HOI detection benchmark sets are not exhaustively annotated and ii) exhaustive labeling in relationships is extremely expensive.
Papers such as PPDM show new datasets that are more close to real-world applications and ST-HOI that shows results in video datasets, which would might be helpful for your situation :) You might like to take a look in to these algorithms.
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Related Issues (20)
- conda activate
- How to use code to infer in my own data set? My own data set is not labeled, just want to see the actual application effect of HOI algorithm HOT 1
- Training log files
- HOTR for Custom Data HOT 1
- Some questions HOT 1
- HIco_single_test HOT 1
- HIco_single_test
- Encoder output 질문 드립니다.
- . HOT 1
- Visualised predictions HOT 3
- can not download hico-det annotation files HOT 1
- Conversion to ONNX HOT 1
- can I feed my features to your network?
- Why did you use "else:" in line 41?
- where to find the pretrained weights?
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- Invalid Annotation File Link
- About output of this model HOT 1
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